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| DOI | 10.1007/s00376-017-7120-4 |
| Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013 | |
| Yang J.; Ji Z.; Chen D.; Kang S.; Fu C.; Duan K.; Shen M. | |
| 发表日期 | 2018 |
| ISSN | 02561530 |
| 卷号 | 35期号:6 |
| 英文摘要 | The application of satellite radiance assimilation can improve the simulation of precipitation by numerical weather prediction models. However, substantial quantities of satellite data, especially those derived from low-level (surface-sensitive) channels, are rejected for use because of the difficulty in realistically modeling land surface emissivity and energy budgets. Here, we used an improved land use and leaf area index (LAI) dataset in the WRF-3DVAR assimilation system to explore the benefit of using improved quality of land surface information to improve rainfall simulation for the Shule River Basin in the northeastern Tibetan Plateau as a case study. The results for July 2013 show that, for low-level channels (e.g., channel 3), the underestimation of brightness temperature in the original simulation was largely removed by more realistic land surface information. In addition, more satellite data could be utilized in the assimilation because the realistic land use and LAI data allowed more satellite radiance data to pass the deviation test and get used by the assimilation, which resulted in improved initial driving fields and better simulation in terms of temperature, relative humidity, vertical convection, and cumulative precipitation. © 2018, Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature. |
| 英文关键词 | land use; leaf area index; radiance assimilation; rainfall simulation; WRF-3DVAR |
| URL | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85045305321&doi=10.1007%2fs00376-017-7120-4&partnerID=40&md5=49582db0b0823770d253dac0dab20fac |
| 语种 | 英语 |
| 来源期刊 | Advances in Atmospheric Sciences
 |
| 来源机构 | 中国科学院西北生态环境资源研究院 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/77166 |
| 推荐引用方式 GB/T 7714 | Yang J.； Ji Z.； Chen D.； Kang S.； Fu C.； Duan K.； Shen M.. Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013[J]. 中国科学院西北生态环境资源研究院,2018,35(6). |
| APA | Yang J.； Ji Z.； Chen D.； Kang S.； Fu C.； Duan K.； Shen M..(2018).Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013.Advances in Atmospheric Sciences,35(6). |
| MLA | Yang J.； Ji Z.； Chen D.； Kang S.； Fu C.； Duan K.； Shen M.."Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013".Advances in Atmospheric Sciences 35.6(2018). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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